Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China

Joint Authors

Chen, Li-hua
Touseef, Muhammad
Yang, Kaipeng
Chen, Yunyao

Source

Advances in Meteorology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-12

Country of Publication

Egypt

No. of Pages

18

Main Subjects

Physics

Abstract EN

Precipitation trend detection is vital for water resources development and decision support systems.

This study predicts the climate change impacts on long-term precipitation trends.

It deals with the analysis of observed historical (1960–2010) and arithmetic mean method in assembling precipitation from CMIP5 Global Climate Models (GCMs) datasets for a future period (2020–2099) under four emission scenarios.

Daily precipitation data of 32 weather stations in the Xijiang River Basin were provided by National Meteorological Information Centre (NMIC) of the China Meteorological Administration (CMA) and Global Climate Models (GCMs) with all four emission scenarios statistically downscaled using Bias Correction Special Disaggregation (BCSD) and applied for bias correction via Climate Change Toolkit (CCT).

Nonparametric Mann–Kendall test was applied for statistical significance trend analysis while the magnitude of the trends was determined by nonparametric Sen’s estimator method on a monthly scale to detect monotonic trends in annual and seasonal precipitation time series.

The results showed a declined trend was observed for the past 50 years over the basin with negative values of MK test (Z) and Sen’s slope Q.

Historical GCMs precipitation detected decreasing trends except for NoerESM1-M which observed slightly increasing trends.

The results are further validated by historical precipitation recorded by the Climate Research Unit (CRU-TS-3.1).

The future scenarios will likely be positive trends for annual rainfall.

Significant positive trends were observed in monsoon and winter seasons while premonsoon and postmonsoon seasons will likely be slightly downward trends.

The 2040s will likely observe the lowest increase of 6.6% while the 2050s will observe the highest increase of 11.5% over the 21st century under future scenarios.

However, due to the uncertainties in CMIP5, the future precipitation projections should be interpreted with caution.

Thus, it could be concluded that the trend of change in precipitation around the Xijiang River Basin is on the increase under future scenarios.

The results can be valuable to water resources and agriculture management policies, as well as the approach for managing floods and droughts under the perspective of global climate change.

American Psychological Association (APA)

Touseef, Muhammad& Chen, Li-hua& Yang, Kaipeng& Chen, Yunyao. 2020. Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1126960

Modern Language Association (MLA)

Touseef, Muhammad…[et al.]. Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China. Advances in Meteorology No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1126960

American Medical Association (AMA)

Touseef, Muhammad& Chen, Li-hua& Yang, Kaipeng& Chen, Yunyao. Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1126960

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1126960